Finding Dimensions for Queries

We address the problem of finding multiple groups of words

or phrases that explain the underlying query facets, which

we refer to as query dimensions. We assume that the important

aspects of a query are usually presented and repeated in

the query’s top retrieved documents in the style of lists, and

query dimensions can be mined out by aggregating these significant

lists. Experimental results show that a large number

of lists do exist in the top results, and query dimensions generated

by grouping these lists are useful for users to learn

interesting knowledge about the queries.

fp0515-dou.pdf
PDF file

In  Proceedings of CIKM2011

Publisher  ACM
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.

Details

TypeInproceedings
> Publications > Finding Dimensions for Queries